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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
current_epoch: int64
current_step: int64
total_steps: int64
val_reward: double
consumed_samples: int64
total_valid_tokens: double
clear_answer: string
subject: string
mix_meta: struct<lambda: double, temperature: double, topk: int64, num_generations_per_query: int64, gen_index (... 192 chars omitted)
  child 0, lambda: double
  child 1, temperature: double
  child 2, topk: int64
  child 3, num_generations_per_query: int64
  child 4, gen_index: int64
  child 5, student_token_fraction: double
  child 6, num_tokens: int64
  child 7, finish_reason: string
  child 8, correct: bool
  child 9, num_attempts: int64
  child 10, max_retries: int64
  child 11, extract_mode: string
  child 12, ground_truth_assistant: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'clear_answer': Value('string'), 'subject': Value('string'), 'mix_meta': {'lambda': Value('float64'), 'temperature': Value('float64'), 'topk': Value('int64'), 'num_generations_per_query': Value('int64'), 'gen_index': Value('int64'), 'student_token_fraction': Value('float64'), 'num_tokens': Value('int64'), 'finish_reason': Value('string'), 'correct': Value('bool'), 'num_attempts': Value('int64'), 'max_retries': Value('int64'), 'extract_mode': Value('string'), 'ground_truth_assistant': Value('string')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              current_epoch: int64
              current_step: int64
              total_steps: int64
              val_reward: double
              consumed_samples: int64
              total_valid_tokens: double
              clear_answer: string
              subject: string
              mix_meta: struct<lambda: double, temperature: double, topk: int64, num_generations_per_query: int64, gen_index (... 192 chars omitted)
                child 0, lambda: double
                child 1, temperature: double
                child 2, topk: int64
                child 3, num_generations_per_query: int64
                child 4, gen_index: int64
                child 5, student_token_fraction: double
                child 6, num_tokens: int64
                child 7, finish_reason: string
                child 8, correct: bool
                child 9, num_attempts: int64
                child 10, max_retries: int64
                child 11, extract_mode: string
                child 12, ground_truth_assistant: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')}), 'clear_answer': Value('string'), 'subject': Value('string'), 'mix_meta': {'lambda': Value('float64'), 'temperature': Value('float64'), 'topk': Value('int64'), 'num_generations_per_query': Value('int64'), 'gen_index': Value('int64'), 'student_token_fraction': Value('float64'), 'num_tokens': Value('int64'), 'finish_reason': Value('string'), 'correct': Value('bool'), 'num_attempts': Value('int64'), 'max_retries': Value('int64'), 'extract_mode': Value('string'), 'ground_truth_assistant': Value('string')}}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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messages
list
clear_answer
string
subject
string
mix_meta
dict
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:...
165
E
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4832281634008635, "num_tokens": 3011, "finish_reason": "stop", "correct": true, "num_attempts": 6, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput...
118
G
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.48368200836820086, "num_tokens": 2390, "finish_reason": "stop", "correct": true, "num_attempts": 15, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tr...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function F. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 14\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 42\n\nInput: 2...
37
F
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5043731778425656, "num_tokens": 1372, "finish_reason": "stop", "correct": true, "num_attempts": 2, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
58
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4854586129753915, "num_tokens": 894, "finish_reason": "stop", "correct": true, "num_attempts": 3, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_truth...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn...
26653
H
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5199044585987261, "num_tokens": 1256, "finish_reason": "stop", "correct": true, "num_attempts": 2, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput...
130
G
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.505, "num_tokens": 5800, "finish_reason": "stop", "correct": true, "num_attempts": 2, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_truth_assistant":...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2...
11
C
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5134453781512605, "num_tokens": 1190, "finish_reason": "stop", "correct": true, "num_attempts": 1, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
27
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4869375907111756, "num_tokens": 1378, "finish_reason": "stop", "correct": true, "num_attempts": 22, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
24
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5239485981308412, "num_tokens": 1712, "finish_reason": "stop", "correct": true, "num_attempts": 12, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2...
28
C
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.507172131147541, "num_tokens": 976, "finish_reason": "stop", "correct": true, "num_attempts": 1, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_truth_...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:...
0
E
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4966273187183811, "num_tokens": 2372, "finish_reason": "stop", "correct": true, "num_attempts": 19, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function B. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 37\n\nInput: 41\nOutput: 9\n\nInput: 45\nOutput: 1\n\nInput: 87397\nOutput: 93\n\nInput: 2...
40
B
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5264922870556673, "num_tokens": 1491, "finish_reason": "stop", "correct": true, "num_attempts": 3, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function B. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 37\n\nInput: 41\nOutput: 9\n\nInput: 45\nOutput: 1\n\nInput: 87397\nOutput: 93\n\nInput: 2...
136
B
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5038679731820526, "num_tokens": 1939, "finish_reason": "stop", "correct": true, "num_attempts": 12, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn...
26437
H
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.49775028121484816, "num_tokens": 1778, "finish_reason": "stop", "correct": true, "num_attempts": 1, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn...
23524
H
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.49514563106796117, "num_tokens": 1751, "finish_reason": "stop", "correct": true, "num_attempts": 6, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
71
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4946987951807229, "num_tokens": 4150, "finish_reason": "stop", "correct": true, "num_attempts": 1, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
40
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.49401709401709404, "num_tokens": 2340, "finish_reason": "stop", "correct": true, "num_attempts": 1, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function F. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 14\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 42\n\nInput: 2...
20
F
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5017452006980803, "num_tokens": 1146, "finish_reason": "stop", "correct": true, "num_attempts": 30, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function F. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 14\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 42\n\nInput: 2...
20
F
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5204205418520016, "num_tokens": 2473, "finish_reason": "stop", "correct": true, "num_attempts": 4, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
66
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5106215578284815, "num_tokens": 1271, "finish_reason": "stop", "correct": true, "num_attempts": 18, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function B. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 37\n\nInput: 41\nOutput: 9\n\nInput: 45\nOutput: 1\n\nInput: 87397\nOutput: 93\n\nInput: 2...
77
B
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5064402810304449, "num_tokens": 1708, "finish_reason": "stop", "correct": true, "num_attempts": 3, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:...
26
E
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5156546489563567, "num_tokens": 4216, "finish_reason": "stop", "correct": true, "num_attempts": 7, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2...
53
C
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.509771986970684, "num_tokens": 1228, "finish_reason": "stop", "correct": true, "num_attempts": 1, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_truth...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput...
97
G
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5063451776649747, "num_tokens": 2364, "finish_reason": "stop", "correct": true, "num_attempts": 2, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput...
36
G
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5021186440677966, "num_tokens": 944, "finish_reason": "stop", "correct": true, "num_attempts": 4, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_truth...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
24
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5020064205457464, "num_tokens": 2492, "finish_reason": "stop", "correct": true, "num_attempts": 4, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function H. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 283\n\nInput: 41\nOutput: 14\n\nInput: 45\nOutput: 45\n\nInput: 87397\nOutput: 39787\n\nIn...
9154
H
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.47596532702915684, "num_tokens": 1269, "finish_reason": "stop", "correct": true, "num_attempts": 1, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
42
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4917175239755885, "num_tokens": 1147, "finish_reason": "stop", "correct": true, "num_attempts": 3, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function G. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 45\n\nInput: 41\nOutput: 11\n\nInput: 45\nOutput: 25\n\nInput: 87397\nOutput: 143\n\nInput...
95
G
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4994250670755079, "num_tokens": 2609, "finish_reason": "stop", "correct": true, "num_attempts": 12, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tru...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function E. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 52\n\nInput: 41\nOutput: 8\n\nInput: 45\nOutput: 40\n\nInput: 87397\nOutput: 247\n\nInput:...
34
E
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.49467902506007555, "num_tokens": 2913, "finish_reason": "stop", "correct": true, "num_attempts": 14, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_tr...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
48
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.5110935023771791, "num_tokens": 1262, "finish_reason": "stop", "correct": true, "num_attempts": 7, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function C. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 69\n\nInput: 41\nOutput: 15\n\nInput: 45\nOutput: 9\n\nInput: 87397\nOutput: 8\n\nInput: 2...
39
C
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4954697186456843, "num_tokens": 2097, "finish_reason": "stop", "correct": true, "num_attempts": 2, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
[ { "role": "user", "content": "Based on the input–output examples below, infer the rule implemented by function D. Then apply the same rule to determine the output for the given input.\n\nExamples:\nInput: 328\nOutput: 21\n\nInput: 41\nOutput: 5\n\nInput: 45\nOutput: 29\n\nInput: 87397\nOutput: 124\n\nInput:...
15
D
{ "lambda": 0.5, "temperature": 0, "topk": 64, "num_generations_per_query": 1, "gen_index": 0, "student_token_fraction": 0.4813302217036173, "num_tokens": 1714, "finish_reason": "stop", "correct": true, "num_attempts": 2, "max_retries": 500, "extract_mode": "boxed_or_last_number", "ground_trut...
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